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MapReduce scheduling algorithms in Hadoop: a systematic study
Hadoop is a framework for storing and processing huge volumes of data on clusters. It uses Hadoop Distributed File System (HDFS) for storing data and...
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Historical data based approach to mitigate stragglers from the Reduce phase of MapReduce in a heterogeneous Hadoop cluster
Hadoop MapReduce processes data on the cluster of commodity hardware (node) in two phases using Map and Reduce tasks. Yet another resource negotiator...
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MapReduce-based distributed tensor clustering algorithm
Cluster analysis is one of the most fundamental methods in data mining, and it has been widely used in economics, social sciences and computer...
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A MapReduce hybridized spotted hyena optimizer algorithm for travelling salesman problem
The Traveling Salesman (TSP) problem is one of the most common basic problems in the nondeterministic polynomial problems (NP-hard) category. TSP is...
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Budget Constraint Scheduler for Big Data Using Hadoop MapReduce
Over the past few years, data production has increased significantly due to the growth of Internet-dependent technologies. Big data allows for an...
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A Workload-Aware Data Placement Scheme for Hadoop-Enabled MapReduce Cloud Data Center
Apache Hadoop is very well known platform to handle large amount of data which comes in different form and generate rapidly. A Mapreduce is the...
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CLQLMRS: improving cache locality in MapReduce job scheduling using Q-learning
Scheduling of MapReduce jobs is an integral part of Hadoop and effective job scheduling has a direct impact on Hadoop performance. Data locality is...
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Hybridhadoop: CPU-GPU hybrid scheduling in hadoop
As a GPU has become an essential component in high performance computing, it has been attempted by many works to leverage GPU computing in Hadoop....
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Efficient encrypted speech retrieval based on hadoop cluster under SW CPU
Most encrypted speech retrieval algorithms are over-optimized for discriminability and robustness, which leads to poor security and efficiency. And...
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An improved chaotic image encryption algorithm using Hadoop-based MapReduce framework for massive remote sensed images in parallel IoT applications
Image encryption algorithms based on Chaotic approach are becoming increasingly popular for remotely sensed images using parallel techniques. It has...
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Performance optimization of computing task scheduling based on the Hadoop big data platform
Hadoop, a distributed computing framework that can efficiently process large-scale datasets, has been used by an increasing number of organizations...
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Comparative Analysis of Hadoop MapReduce and Spark Based on People’s Livelihood Appeal Data
In data research area, one of the most challenging issues is how to extract the key information from massive data with high efficiency. Hadoop and...
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An experimental and comparative benchmark study examining resource utilization in managed Hadoop context
Transitioning cloud-based Hadoop frameworks from IaaS to PaaS, which are commercially conceptualized as pay-as-you-go or pay-per-use, often reduces...
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A multi-threaded particle swarm optimization-kmeans algorithm based on MapReduce
The particle swarm optimization-K-Means algorithm is proposed by the related researchers to improve the clustering accuracy of the K-Means algorithm....
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Comprehensive techniques for multi-tenant deep learning framework on a Hadoop YARN cluster
We have designed and implemented a new data processing framework called “MeLoN” (Multi-tenant dEep Learning framework On yarN) which aims to...
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Design of ChaApache framework for securing Hadoop application in big data
Hadoop is one of the biggest software structures for distributing the data to compute and handle big data. Big data is a group of composite and...
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Reinforcement learning based energy efficient resource allocation strategy of MapReduce jobs with deadline constraint
Big Data applications require more energy consumption to process a massive volume of data in a heterogeneous environment. Moreover, reducing energy...
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An intelligent surveillance video analytics framework using NACT-Hadoop/MapReduce on cloud services
Video analytics has gradually increased in recent years. The intelligent CCTV cameras in public places, you-tube videos, etc. generate an enormous...
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Estimating runtime of a job in Hadoop MapReduce
Hadoop MapReduce is a framework to process vast amounts of data in the cluster of machines in a reliable and fault-tolerant manner. Since being aware...
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Adaptive Weighted Support Vector Machine classification method for privacy preserving in cloud over big data using hadoop framework
Data security is one of the most critical parts of big data investigation. The cloud system applications deal with sensitive information, such as...
